INGExpert - Generative AI in Risk
AI in this role
Expert in Generative AI and advanced analytics to identify and build AI solutions for credit risk processes.
ING Hubs Poland is hiring!
The expected salary for this position: 13 000 - 22 000 PLN
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
We are looking for you, if you:
- Are passionate about the potential of AI and can identify opportunities where AI, advanced analytics, or GenAI solutions can create meaningful business impact,
- Have strong hands-on experience with Python, SAS and SQL and enjoy solving analytical challenges,
- Have experience working with modern AI ecosystems, including Copilot, LLMs and automation platforms.
- Understand constraints of building compliant AI solutions in a highly regulated banking sector
- Are comfortable working independently, taking ownership, and driving change across complex organizations,
- Build strong relationships and can effectively influence stakeholders across different business and technical areas.
You'll get extra points for:
- Having extensive experience in Credit Risk, risk modelling, or risk process transformation within a regulated environment,
- Understanding the end-to-end credit risk model lifecycle and the challenges that come with it,
- Successfully delivering AI, GenAI or advanced analytics solutions into production environments,
- Experience with model governance, validation, regulatory reviews or audit processes,
- Turning innovative ideas and proofs of concept into scalable business solutions,
Your responsibilities:
- Identify and shape high-impact AI use cases across the Credit Risk model lifecycle, from data management and model development to validation, monitoring and regulatory compliance.
- Design and build proof-of-concept solutions with Risk, Analytics and Technology teams, demonstrating how AI can deliver tangible business value.
- Explore, evaluate and leverage AI technologies, including Large Language Models and Copilot solutions, to enhance risk and model-related processes.
- Apply your expertise in Python, SAS and SQL to develop, test and assess innovative solutions and new ways of working.
- Turn successful experiments into scalable, sustainable solutions adopted across COO Risk.
- Act as a trusted AI advisor for Credit Risk stakeholders, helping identify opportunities, assess feasibility and maximize value creation.
- Drive the adoption of AI by translating emerging technologies into practical, business-ready solutions.
- Collaborate with international teams across Risk, Analytics, Technology, Data and Compliance to deliver impactful outcomes.
- Ensure AI-enabled solutions meet requirements for governance, traceability, auditability and regulatory compliance.
- Influence the future of Risk by driving innovation, challenging the status quo and promoting AI-powered ways of working.
Information about the Team:
You will join COO Risk, an organization serving all business lines and senior Risk stakeholders across the bank. COO Risk takes explicit ownership of operational stability and structural transformation initiatives, playing a critical role in enabling safe and compliant Risk processes.
The role offers extensive interaction with Credit Risk, Model Development, Model Risk, Compliance/NFR, Analytics, and IT teams in an international environment. Hierarchically you will report to Product Lead in Risk Data Tribe but collaborating and extending the network and scope of work to entire COO Risk domain.
The role naming convention in the global ING job architecture will be "Data Scientist IV".
How we rate this
Expert - Generative AI in Risk at ING rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where generative ai was part of your work. What did you do?
- Tell me about a project where risk modeling was part of your work. What did you do?
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where model governance was part of your work. What did you do?
- Walk me through how you've used Copilot in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Generative AI, Risk Modeling, Data Analytics, Model Governance, and Copilot. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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